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基于灰色系统理论的山东省海洋生物医药业发展分析
引用本文:付秀梅,汪帆. 基于灰色系统理论的山东省海洋生物医药业发展分析[J]. 中国渔业经济, 2013, 0(6): 145-151
作者姓名:付秀梅  汪帆
作者单位:中国海洋大学经济学院,山东青岛266100
基金项目:本文受国家自然科学基金[41130858]、青岛市科技发展计划公共领域科技支撑计划软科学研究项目[121384(41)zhc]资助.感谢本文匿名审稿人的宝贵意见,当然文责自负.
摘    要:发展海洋生物医药业是山东省建设蓝色经济区,大力发展海洋高端产业,加快实现海洋经济结构优化升级的重要途径。论文运用灰色关联模型,定量分析山东省海洋生物医药业各影响因子的贡献度,研究发现,海洋科研机构科研经费总收入、政府资金、发明专利数和山东省海洋生产总值对山东省海洋医药业增加值的影响最大。建立灰色预测模型,对山东省海洋生物医药业发展趋势进行分析,研究发现在有效的政策环境下,产业能够保持继续壮大的态势。本文据此,提出提升产业竞争力、促进产业可持续发展的政策建议。

关 键 词:灰色关联度  灰色预测  海洋生物医药业

Research on the development of marine pharmaceutical industry of Shandong provincebased on grey system theory
FU Xiu-mei,WANG Fan. Research on the development of marine pharmaceutical industry of Shandong provincebased on grey system theory[J]. Chinese Fisheries Economics, 2013, 0(6): 145-151
Authors:FU Xiu-mei  WANG Fan
Affiliation:( College of Economy, Ocean University of China, Shandong Qingdao 266100, China )
Abstract:Based on the superior environment of the blue-economic zone, Shandong province has done a lot to improve the development of the marine pharmaceutical industry, which in turn facilitates the sustainable development of the marine industry here. In this paper, gray correlation degree analysis is used to study the key factors affecting the output of the marine pharmaceutical industry in Shandong quantitatively. The result shows that the total income of the scientific institute government funds and the number of the patent application have the largest impact. Grey dynamic model GM(1,1) is then used to provide reference for management and planning of the development of the marine pharmaceutical industry of Shandong province.
Keywords:gray correlation degree analysis  GM(1,1) mode  marine pharmaceutical industry
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